🐦 Twitter Post Details

Viewing enriched Twitter post

@iScienceLuvr

Can foundation models actively gather information in interactive environments to test hypotheses? "Our experiments with Gemini 1.5 reveal significant exploratory capabilities, effective navigation of complex abstract problem spaces, the discovery of novel solutions, and the achievement of predefined objectives with minimal guidance. While performance tends to decrease as environmental complexity increases, such as more complex reward functions or when moving to 3D environments that require visual understanding, exploration efficiency significantly outperforms random baselines."

🔧 Raw API Response

{
  "user": {
    "created_at": "2011-12-20T03:45:50.000Z",
    "default_profile_image": false,
    "description": "PhD at 19 |\nFounder and CEO at @MedARC_AI |\nResearch Director at @StabilityAI | \n@kaggle Notebooks GM |\nBiomed. engineer @ 14 |\nTEDx talk➡https://t.co/xPxwKTpz0D",
    "fast_followers_count": 0,
    "favourites_count": 83827,
    "followers_count": 63880,
    "friends_count": 1100,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 974,
    "location": "",
    "media_count": 1828,
    "name": "Tanishq Mathew Abraham, Ph.D.",
    "normal_followers_count": 63880,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/441465751/1675968078",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1553508977735962624/nnlSwBmu_normal.jpg",
    "screen_name": "iScienceLuvr",
    "statuses_count": 14515,
    "translator_type": "none",
    "url": "https://t.co/nNzCz2VVd1",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "441465751"
  },
  "id": "1866356524115005671",
  "conversation_id": "1866356524115005671",
  "full_text": "Can foundation models actively gather information in interactive environments to test hypotheses?\n\n\"Our experiments with Gemini 1.5 reveal significant exploratory capabilities, effective navigation of complex abstract problem spaces, the discovery of novel solutions, and the achievement of predefined objectives with minimal guidance. While performance tends to decrease as environmental complexity increases, such as more complex reward functions or when moving to 3D environments that require visual understanding, exploration efficiency significantly outperforms random baselines.\"",
  "reply_count": 1,
  "retweet_count": 6,
  "favorite_count": 22,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GeagDwYbwAAA4Xe.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/iScienceLuvr/status/1866356524115005671",
  "created_at": "2024-12-10T05:37:25.000Z",
  "#sort_index": "1866356524115005671",
  "view_count": 2872,
  "quote_count": 0,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": true,
  "startUrl": "https://x.com/iscienceluvr/status/1866356524115005671"
}